What is intent data?
Intent data is the set of behavioral signals, observed directly or bought from a vendor, that indicate a company or the people inside it are researching a purchase before anyone fills out a form.
That single label covers two different kinds of evidence, and mixing them up costs teams accuracy. Commoditized third-party intent data comes from vendors who resell the same signal to every buyer in a category: funding announcements, topic surges on industry sites, keyword spikes tracked across someone else's ad network. First-party(opens in a new tab) engagement signals are ones you observe directly, on your own site and your own ads: pricing page visits, repeat sessions, ad clicks, demo replays. Third-party intent tells you a market is warming up somewhere; first-party engagement tells you a specific account, sometimes a specific named person, is paying attention to you right now. Most ABM programs pull both into account scoring and prioritization, then use the combination to decide which accounts earn budget and outreach this week instead of guessing from firmographics alone.
Why "intent data" means different things depending on who's selling it
Ask five vendors what counts as intent data and you will get five different answers, mostly because each one is selling a different layer of it. A provider selling topic-surge reports is selling third-party intent: the same funding news and keyword spikes sold to every competitor buying that feed. A tool that tracks who visited your pricing page(opens in a new tab) is selling first-party engagement, observed only by you. Neither one is wrong. They answer different questions, and most of the go-to-market confusion comes from treating them as interchangeable. For where these categories split, including where second-party data sits between them, see how intent data separates from firmographic and technographic data(opens in a new tab).
What intent data can't tell you by itself
Raw intent data answers one question: is something happening? It doesn't answer whether this account fits what you sell, or whether you are looking at the right person to reach. Those are separate questions, and platforms that collapse them into one opaque score end up asking sales to trust a number nobody can explain. A fit question and a timing question need different evidence. Fit comes from firmographic(opens in a new tab) data and closed-won history; timing comes from the signals themselves. An intent spike means an account is ready for ads, not that it is ready to buy. Treating it as a green light, without first checking whether the account was ever a fit, is how teams end up chasing accounts that were never going to buy.
An intent score is different from intent data. The data is the raw signal, like a topic surge or a pricing page visit. The score is a number a platform derives from it, and a useful platform lets you see exactly which signals produced the number instead of asking you to trust it.
How ABM teams put intent data to work
Inside a working ABM motion, intent data feeds a sequence rather than a dashboard. It helps decide which accounts get added to a target list, moves a score when the right combination of signals shows up, and tells prioritization which accounts deserve outreach this week over the hundred others that also fit the ICP(opens in a new tab). Once those accounts are activated, the same signals should still be visible as evidence of what happened before the opportunity, so the team can see whether the accounts it chose actually moved. Teams building or refining an account-based motion can see that pattern worked through in more tactical detail in this guide to account-based marketing tactics(opens in a new tab).
Where the buying committee fits in
Account-level intent tells you a company is in motion. It doesn't tell you who inside that company is doing the researching, and that is the layer that turns an account-level signal into someone a rep can actually call. Contact-level intent, tied to a named person on the buying committee, is what makes an account-level signal an actual rep task. For the mechanics of who counts as part of that group, see this explainer on the B2B buying group(opens in a new tab). Teams deciding when to start acting on contact-level signals instead of account-level ones alone can check the stage-by-stage view in this maturity guide(opens in a new tab).